- Applied Machine Learning
- Random Forest Algorithm
- Classification Algorithms
- Decision Tree Learning
- Regression Analysis
- Machine Learning
- Model Evaluation
- Feature Engineering
- Python Programming
- Supervised Learning
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
Applied Machine Learning in Python
Completed by Walter Jeremías López Flores
August 23, 2020
31 hours (approximately)
Walter Jeremías López Flores's account is verified. Coursera certifies their successful completion of Applied Machine Learning in Python
What you will learn
Describe how machine learning is different than descriptive statistics
Create and evaluate data clusters
Explain different approaches for creating predictive models
Build features that meet analysis needs
Skills you will gain
